erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. As the CIO, your stakeholders include both IT and business users in collaborative relationships, which means data governance is not only your business, it’s everyone’s business.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

TDAN

DECEMBER 3, 2019

Wherever we go, we are overwhelmed by MORE: more sales, more discounts, more fun, more excitement, more features – the list goes on and on! What humans seem to be far less attuned to is reducing what we don’t need. Drive around any suburban neighborhood and see the many cars parked outside their garages! Believe […].

Sales 78

Sales Data Architecture Data Governance Metadata 78

Analytics Vidhya

DECEMBER 1, 2019

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

Data Science 357

Data Science Analytics Deep Learning Machine Learning 357

Corinium

DECEMBER 2, 2019

The proper powers and responsibilities for a CDAO to wield have been a topic of debate in the business world for some years now. However, it has become clear that having someone who is responsible for maximizing the value of a company’s data asset is essential for businesses operating in the digital age.

IT 195

IT 195

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

Management

KDnuggets

DECEMBER 6, 2019

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

Machine Learning 154

Machine Learning Deep Learning Analytics 154

FineReport

DECEMBER 5, 2019

The year is coming to an end, and if any of you work in the relevant departments of the company’s financial accounting, you must be busy preparing various annual financial statements. Especially for beginners who have just entered this field, how to design reports to clearly show the financial analysis and business operation status is a challenge. In the financial statements, compared to traditional dense tables, charts can visualize the data and display the data more intuitively, making the com

Dashboards 98

Dashboards Statistics Visualization Reporting 98

Jet Global

DECEMBER 3, 2019

Financial reporting requires a significant amount of time, attention, and input to prepare reports that offer valuable analysis and deep insight into enterprise performance. Therefore, it’s easy to assume that reporting is always going to be difficult, consuming more time than companies would like and creating copious data errors along the way.

Reporting 98

Reporting Uncertainty Metrics Cost-Benefit 98

KDnuggets

DECEMBER 3, 2019

What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

Data Science 141

Data Science IT 141

FineReport

DECEMBER 3, 2019

Why we need reporting tools? You can’t deny the fact that almost every position in the company is inseparable from reports. If you are a report producer, your job is to extract appropriate data and make reports according to key indicators; If you are a business staff, the basic components of your work are model + indicator + report +data visualization ; If you are an operation and maintenance staff, your job is to ensure that the company’s core reports are released on time.

Reporting 98

Reporting Dashboards Visualization Business Analysis 98

Analytics Vidhya

DECEMBER 3, 2019

Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3) appeared first on Analytics Vidhya.

Analytics 181

Analytics Unstructured Data Deep Learning Data Science 181

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Analytics

Sisense

DECEMBER 4, 2019

Blog. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head. Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. In the right hands, data is the ultimate means to answer important business questions. The problem is that when data is used incorrectly, it still provides answers (just bad ones).

Dashboards 97

Dashboards Metrics Visualization IT 97

KDnuggets

DECEMBER 4, 2019

What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.

124

124

MLWhiz

DECEMBER 6, 2019

A Machine Learning project is never really complete if we don’t have a good way to showcase it. While in the past, a well-made visualization or a small PPT used to be enough for showcasing a data science project, with the advent of dashboarding tools like RShiny and Dash, a good data scientist needs to have a fair bit of knowledge of web frameworks to get along.

Machine Learning 90

Machine Learning Dashboards Visualization Data Science 90

Analytics Vidhya

DECEMBER 2, 2019

“I have applied for various data science roles but I always get rejected because of a lack of experience.” This is easily the most. The post Data Science Immersive Bootcamp – Hands-on Internship with Job Guarantee! appeared first on Analytics Vidhya.

Data Science 181

Data Science Analytics Machine Learning 181

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Data Science 101

DECEMBER 5, 2019

Data Analysis as a career. Do you know which the sexiest job of the 21st Century is? As per the Harvard Business Review , it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Picking a career is one of the most critical decisions that we need to take.

Statistics 88

Statistics Sales Data-driven Data Science 88

KDnuggets

DECEMBER 5, 2019

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

120

120

TDAN

DECEMBER 3, 2019

Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most. I thought I’d spend a bit of time to reflect on the question and answer […].

Metadata 88

Metadata Data Architecture IT Data Strategy 88

Corinium

DECEMBER 3, 2019

Enterprise 150

Enterprise 150

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

MLWhiz

DECEMBER 4, 2019

I like deep learning a lot but Object Detection is something that doesn’t come easily to me. And Object detection is important and does have its uses. Most common of them being self-driving cars, medical imaging and face detection. It is definitely a hard problem to solve. And with so many moving parts and new concepts introduced over the long history of this problem, it becomes even harder to understand.

Deep Learning 84

Deep Learning IT 84

KDnuggets

DECEMBER 5, 2019

While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.

Machine Learning 110

Machine Learning Software 110

Data Science 101

DECEMBER 3, 2019

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. However, there are many questions to address before getting started. Below is a list of some of those questions. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business?

Data Strategy 84

Data Strategy Strategy Data Warehouse Dashboards 84

Smart Data Collective

DECEMBER 1, 2019

Artificial intelligence has had a profound impact on our lives. A study by Tractica found that the global AI market is projected to grow to $118.6 billion within the next six years. The market for artificial intelligence technology is growing largely due to the number of industries that depend on it. Almost every industry can use AI technology in some capacity.

Finance 80

Finance Marketing Predictive Analytics Technology 80

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

IBM Big Data Hub

DECEMBER 3, 2019

With its electro-light tulip garden, disco ball-adorned trees and no stone-left-unturned music lineup, "Denmark’s Most Beautiful Festival" aims to surpass guests’ expectations on safety, comfort and entertainment, from its uncannily clean bathrooms down to its whimsical camp-in-a-beer-can glamping options.

Recreation/Entertainment 82

Recreation/Entertainment IT 82

KDnuggets

DECEMBER 2, 2019

The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.

Data Science 111

Data Science 111

Data Science 101

NOVEMBER 30, 2019

I have been recording these quick 60 second videos, so I thought I would share on the blog.

Data Science 119

Data Science 119

Smart Data Collective

DECEMBER 4, 2019

Artificial intelligence is playing a very important role in the future of video editing. Anybody that works in the profession should learn how to use AI technology to get the most value out of their videos. How can you use AI to benefit as a video editor ? Intelligent HQ founder Dinis Guarda has talked about some of the benefits of artificial intelligence for video editing in this article.

Interactive 79

Interactive Machine Learning Software Marketing 79

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

Domino Data Lab

DECEMBER 1, 2019

This article covers how to detect data drift for models that ingest image data as their input in order to prevent their silent degradation in production. Run the example in a complementary Domino project. Introduction: preventing silent model degradation in production. In the real word, data is recorded by different systems and is constantly changing.

Modeling 77

Modeling Machine Learning Deep Learning Testing 77

KDnuggets

DECEMBER 5, 2019

Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.

Deep Learning 104

Deep Learning Modeling Technology IT 104

TDAN

DECEMBER 3, 2019

Everyone’s talking about data. Data is the key to unlocking insight— the secret sauce that will help you get predictive, the fuel for business intelligence. The transformative potential in AI? It relies on data. The thing that powers your CRM, your monthly report, your Tableau dashboard. Data. The good news is that data has never […].

Business Intelligence 72

Business Intelligence Dashboards Reporting Data Architecture 72

IBM Big Data Hub

DECEMBER 3, 2019

More companies are choosing to implement multicloud platforms that include software as a service (SaaS) due to the many opportunities, advantages, and benefits they provide.

Digital Transformation 69

Digital Transformation Software 69

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Manufacturing